This Collection aims to bring together original research on all aspects of ML-based medical image analysis, including technological developments and new clinical applications.

Machine strengths. Machine learning already does much better on simple images that only have one thing in the frame. "The systems are getting to be as good as an untrained human," Platt claims.

Artificial Intelligence (AI) and Machine Learning (ML) have become foundational technologies in the field of image processing. Traditionally, AI image recognition involved algorithmic techniques ...

Image processing is used in pattern recognition to identify the items in an image, and machine learning is then used to train the system to recognise changes in patterns. Pattern recognition is ...

Many of the aforementioned machine learning applications, including facial recognition and ML-based image upscaling, were once impossible to accomplish on consumer-grade hardware.

Google announced today it has acquired Paris-based machine learning startup Moodstocks to work on smartphone image and item recognition. Moodstocks says on its website that the deal should close ...

Machine learning is widely used in applications like predictive modeling, recommendation systems, image and speech recognition, ... 3 Machine Learning Applications To Consider.